Literature DB >> 19812289

Noise-gated encoding of slow inputs by auditory brain stem neurons with a low-threshold K+ current.

Yan Gai1, Brent Doiron, Vibhakar Kotak, John Rinzel.   

Abstract

Phasic neurons, which do not fire repetitively to steady depolarization, are found at various stages of the auditory system. Phasic neurons are commonly described as band-pass filters because they do not respond to low-frequency inputs even when the amplitude is large. However, we show that phasic neurons can encode low-frequency inputs when noise is present. With a low-threshold potassium current (I(KLT)), a phasic neuron model responds to rising and falling phases of a subthreshold low-frequency signal with white noise. When the white noise was low-pass filtered, the phasic model also responded to the signal's trough but still not to the peak. In contrast, a tonic neuron model fired mostly to the signal's peak. To test the model predictions, whole cell slice recordings were obtained in the medial (MSO) and lateral (LSO) superior olivary neurons in gerbil from postnatal day 10 (P10) to 22. The phasic MSO neurons with strong I(KLT), mostly from gerbils aged P17 or older, showed firing patterns consistent with the preceding predictions. Moreover, injecting a virtual I(KLT) into weak-phasic MSO and tonic LSO neurons with putative weak or no I(KLT) (from gerbils younger than P17) shifted the neural response from the signal's peak to the rising phase. These findings advance our knowledge about how noise gates the signal pathway and how phasic neurons encode slow envelopes of sounds with high-frequency carriers.

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Year:  2009        PMID: 19812289      PMCID: PMC2804414          DOI: 10.1152/jn.00538.2009

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  40 in total

1.  Differential expression of three distinct potassium currents in the ventral cochlear nucleus.

Authors:  Jason S Rothman; Paul B Manis
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2.  Subthreshold K+ channel dynamics interact with stimulus spectrum to influence temporal coding in an auditory brain stem model.

Authors:  Mitchell L Day; Brent Doiron; John Rinzel
Journal:  J Neurophysiol       Date:  2007-12-05       Impact factor: 2.714

3.  Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons.

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4.  Detection of subthreshold pulses in neurons with channel noise.

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-11-11

5.  Spontaneous action potentials due to channel fluctuations.

Authors:  C C Chow; J A White
Journal:  Biophys J       Date:  1996-12       Impact factor: 4.033

6.  Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs.

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7.  Membrane properties underlying the firing of neurons in the avian cochlear nucleus.

Authors:  A D Reyes; E W Rubel; W J Spain
Journal:  J Neurosci       Date:  1994-09       Impact factor: 6.167

8.  Sodium along with low-threshold potassium currents enhance coincidence detection of subthreshold noisy signals in MSO neurons.

Authors:  Gytis Svirskis; Vibhakar Kotak; Dan H Sanes; John Rinzel
Journal:  J Neurophysiol       Date:  2004-01-28       Impact factor: 2.714

9.  Voltage-sensitive conductances of bushy cells of the Mammalian ventral cochlear nucleus.

Authors:  Xiao-Jie Cao; Shalini Shatadal; Donata Oertel
Journal:  J Neurophysiol       Date:  2007-04-11       Impact factor: 2.714

10.  Biophysical basis for three distinct dynamical mechanisms of action potential initiation.

Authors:  Steven A Prescott; Yves De Koninck; Terrence J Sejnowski
Journal:  PLoS Comput Biol       Date:  2008-10-10       Impact factor: 4.475

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  27 in total

1.  Signal-to-noise ratio in the membrane potential of the owl's auditory coincidence detectors.

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Journal:  J Neurophysiol       Date:  2012-08-29       Impact factor: 2.714

2.  Intrinsic firing properties in the avian auditory brain stem allow both integration and encoding of temporally modulated noisy inputs in vitro.

Authors:  Lauren J Kreeger; Arslaan Arshed; Katrina M MacLeod
Journal:  J Neurophysiol       Date:  2012-08-22       Impact factor: 2.714

3.  Emphasis of spatial cues in the temporal fine structure during the rising segments of amplitude-modulated sounds II: single-neuron recordings.

Authors:  Mathias Dietz; Torsten Marquardt; Annette Stange; Michael Pecka; Benedikt Grothe; David McAlpine
Journal:  J Neurophysiol       Date:  2014-02-19       Impact factor: 2.714

4.  Emergence of band-pass filtering through adaptive spiking in the owl's cochlear nucleus.

Authors:  Bertrand Fontaine; Katrina M MacLeod; Susan T Lubejko; Louisa J Steinberg; Christine Köppl; Jose L Peña
Journal:  J Neurophysiol       Date:  2014-04-30       Impact factor: 2.714

5.  On the localization of complex sounds: temporal encoding based on input-slope coincidence detection of envelopes.

Authors:  Yan Gai; Vibhakar C Kotak; Dan H Sanes; John Rinzel
Journal:  J Neurophysiol       Date:  2014-05-21       Impact factor: 2.714

6.  Subthreshold resonance properties contribute to the efficient coding of auditory spatial cues.

Authors:  Michiel W H Remme; Roberta Donato; Jason Mikiel-Hunter; Jimena A Ballestero; Simon Foster; John Rinzel; David McAlpine
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-19       Impact factor: 11.205

7.  ON and OFF inhibition as mechanisms for forward masking in the inferior colliculus: a modeling study.

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Journal:  J Neurophysiol       Date:  2016-02-24       Impact factor: 2.714

Review 8.  Sound localization: Jeffress and beyond.

Authors:  Go Ashida; Catherine E Carr
Journal:  Curr Opin Neurobiol       Date:  2011-06-07       Impact factor: 6.627

9.  Difference in response reliability predicted by spectrotemporal tuning in the cochlear nuclei of barn owls.

Authors:  Louisa J Steinberg; Jose L Peña
Journal:  J Neurosci       Date:  2011-03-02       Impact factor: 6.167

10.  Slope-based stochastic resonance: how noise enables phasic neurons to encode slow signals.

Authors:  Yan Gai; Brent Doiron; John Rinzel
Journal:  PLoS Comput Biol       Date:  2010-06-24       Impact factor: 4.475

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